Mediapipe Courses and Certifications

Nicholas Renotte

AI Pose Estimation with Python and MediaPipe - AI Gym Tracker Project

Learn to build an AI-powered gym tracker using Python, MediaPipe, and OpenCV. Master pose estimation, joint coordinate extraction, and angle calculation to create a rep-counting application.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Nicholas Renotte

AI Face, Body and Hand Pose Detection with Python and Mediapipe

Learn to detect facial landmarks, body poses, and hand gestures using Mediapipe and Python. Build touchless gesture control and human sentiment analysis applications with real-time webcam integration.

• YouTube
• 43 minutes
• On-Demand
• Free Video

ML on Android with MediaPipe

1 review

Discover how to integrate Google's MediaPipe into Android apps for computer vision, audio classification, NLP, and custom ML model training in this comprehensive tutorial series.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Paul McWhorter

AI for Everyone - Control of Real World Objects with Gesture Recognition in Mediapipe

1 review

Learn to control real-world objects using gesture recognition with Mediapipe and Arduino. Develop a Python program to recognize hand gestures and control LEDs on an Arduino breadboard.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Nicholas Renotte

Training My Deadlift Bot With MediaPipe and OpenCV

Learn to create a deadlift bot using MediaPipe and OpenCV in this hands-on live stream, exploring practical applications of computer vision and machine learning for fitness tracking.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Paul McWhorter

AI for Everyone - Parsing Pose and Hand Landmark Data in Mediapipe

Learn to parse pose and hand landmark data in Mediapipe using Python and OpenCV. Develop full-body pose estimation for live video analysis, with practical demonstrations and troubleshooting tips.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Paul McWhorter

AI for Everyone - Real Time Pose Estimation with Mediapipe and Python

Learn real-time pose estimation using Mediapipe and Python. Discover how to analyze body landmarks, process webcam video, and visualize results with OpenCV in this hands-on tutorial.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Android Makers

On-Device Machine Learning for Android with MediaPipe

Explore on-device ML for Android using MediaPipe to add advanced features like image generation and object detection to your apps.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Eran Feit

How to Build Image Classifier with MediaPipe

Master building AI-powered image classifiers using MediaPipe, OpenCV, and TensorFlow Lite's EfficientNet for fast, accurate visual recognition in Python.

• YouTube
• 10 minutes
• On-Demand
• Free Video

Eran Feit

Highlight Any Object in an Image Using MediaPipe Segmentation

Master interactive image segmentation with Python, MediaPipe, and OpenCV to detect and highlight objects in images using Google's DeepLabV3 model, custom color overlays, and segmentation masks for computer vision applications.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Eran Feit

Image Segmentation Using MediaPipe DeepLabV3

Master image segmentation with MediaPipe's DeepLabV3 model to separate foreground from background and apply effects like background blurring using Python, OpenCV, and NumPy.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Nicholas Renotte

AI Hand Pose Estimation with MediaPipe - Detect Left and Right Hand and Calculate Angles

Learn advanced hand pose estimation using MediaPipe, OpenCV, and Python. Detect left/right hands, calculate joint angles, and render estimations for kinematic analysis and real-time applications.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Nicholas Renotte

AI Hand Pose Estimation with MediaPipe and Python

Learn to implement hand pose estimation using MediaPipe and Python. Set up the environment, detect hand poses in real-time, interpret results, and apply styling with OpenCV for enhanced visualization.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Nicholas Renotte

AI Body Language Decoder with MediaPipe and Python

Learn to decode body language using MediaPipe and Python. Build custom pose classification models to interpret facial and body landmarks in real-time with OpenCV, Pandas, and Scikit-Learn.

• YouTube
• 1 hour 33 minutes
• On-Demand
• Free Video

React Conferences by GitNation

Using Mediapipe to Create Cross Platform Machine Learning Applications With React

Learn to integrate MediaPipe's open-source ML solutions with React for creating powerful, intuitive applications on low-powered devices, without extensive machine learning knowledge.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk